Special Issue "Smart Design, Smart Manufacturing and Industry 4.0"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 December 2016).
Interests: Industry 4.0, smart design for manufacture, energy efficient engines, parallel computing and control, machine learning and optimisation, computational intelligence
Interests: cyber-physical systems, dynamics and control, robotics, multidisciplinary design and optimisation, reliability and risk analysis, computational intelligence
Interests: robotics and autonomous systems; mechatronics and automation; data analytics; intelligent control; computational intelligence; digital manufacturing
Special Issues, Collections and Topics in MDPI journals
Interests: computer science, informatics, energy-efficient computing, robotics
Interests: evolutionary computation, machine learning, computer applications, power electronics
Interests: computer science and technology, network and communication technology, cyber security
Smart manufacturing lies in the centre of “Industrie 4.0” or “Industry 4.0”, the first a-priori engineered and the fourth “industrial (r)evolution”, referring to “the industrial value chain and technological evolution upgrading the factory floor to a mass be-spoke innovation centre” (Siemens 2015). Its revolutionary value lies in the mass customisation made available at mass production through cyber-physical integration, information and communication technology, and computer-automated design, in which computer science and technology play a key role.
Energy-efficient design for smart manufacturing and Industry 4.0 is applicable to smart designs for customised production, networked embedded systems, “smart factories”, “industrial internet”, “Internet of Things”, “Internet of Everything”, and “Internet+”. This Special Issue welcomes original, high-quality research papers or reviews on these topics, including developments of energy-efficient methodologies and business environments for Industry 4.0. It also welcomes related topics on energy-efficient autonomous manufacturing, computer technology for manufacturing automation, autonomous systems, smart robotic systems, computational intelligence aided engineering, machine learning, system monitoring, and advanced control.
Prof. Dr. Yun Li
Dr. Yi (Leo) Chen
Dr. Erfu Yang
Prof. Dr. Hongnian Yu
Prof. Dr. Jun Zhang
Prof. Dr. Huaqiang Yuan
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- energy efficiency
- energy efficient design
- energy efficient systems
- smart manufacturing
- autonomous manufacturing
- smart factories
- customised production
- industrial automation
- industry 4.0
- industrial internet
- cyber-physical systems
- internet of everything
- smart design
- autonomous design
- computer-automated design
- machine learning
- evolutionary computation
- computational intelligence
- business informatics